Data Integration in the Life Sciences Third International Worksh
Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assura
- PDF / 4,882,550 Bytes
- 308 Pages / 430 x 660 pts Page_size
- 10 Downloads / 216 Views
4075
Edited by S. Istrail, P. Pevzner, and M. Waterman Editorial Board: A. Apostolico S. Brunak M. Gelfand T. Lengauer S. Miyano G. Myers M.-F. Sagot D. Sankoff R. Shamir T. Speed M. Vingron W. Wong
Subseries of Lecture Notes in Computer Science
Ulf Leser Felix Naumann Barbara Eckman (Eds.)
Data Integration in the Life Sciences Third International Workshop, DILS 2006 Hinxton, UK, July 20-22, 2006 Proceedings
13
Series Editors Sorin Istrail, Brown University, Providence, RI, USA Pavel Pevzner, University of California, San Diego, CA, USA Michael Waterman, University of Southern California, Los Angeles, CA, USA Volume Editors Ulf Leser Felix Naumann Humboldt-Universität zu Berlin, Institut für Informatik Unter den Linden 6, 10099 Berlin, Germany E-mail: {leser, naumann}@informatik.hu-berlin.de Barbara Eckman IBM Application and Integration Middleware 1475 Phoenixville Pike, West Chester, PA 19380, USA E-mail: [email protected]
Library of Congress Control Number: 2006928955
CR Subject Classification (1998): H.2, H.3, H.4, J.3 LNCS Sublibrary: SL 8 – Bioinformatics ISSN ISBN-10 ISBN-13
0302-9743 3-540-36593-1 Springer Berlin Heidelberg New York 978-3-540-36593-8 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2006 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 11799511 06/3142 543210
Preface Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost universally underpinned by enormous efforts in data management, data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications produced by different experimental methods, in different research groups, and at different levels of granularity. Despite more than a decade of intensive research in these areas, there remain many unsolved problems. In some respects, these problems are becoming more severe, both due to continuous increases in data volumes and the growing diversity in types of data that need to be managed. And the next big challenge is already upon us: the need to integrate the different “omics” data sets with the v
Data Loading...
